Text analysis has undergone substantial evolution since its inception, moving from manual
qualitative assessments to sophisticated quantitative and computational methods. Beginning …

While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Stable diffusion revolutionized image creation from descriptive text. GPT-2 (ref.), GPT-3 (.
5)(ref.) and GPT-4 (ref.) demonstrated high performance across a variety of language tasks …

The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …

ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …

Training on model-generated synthetic data is a promising approach for finetuning LLMs,
but it remains unclear when it helps or hurts. In this paper, we investigate this question for …

We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing
regulatory efforts concerning this technology. Economic research encompasses growth …

Large language models (LLMs) have enabled the generation of high-quality synthetic text,
often indistinguishable from human-written content, at a scale that can markedly affect the …

Colloquially speaking, image generation models based upon diffusion processes are
frequently said to exhibit''hallucinations''samples that could never occur in the training data …

The era of proliferation of large language and image generation models begs the question
of what happens if models are trained on the synthesized outputs of other models. The …